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Senior Data Product Manager

We are looking for a Senior Data Product Manager to join our growing team, where you will play a critical role in shaping our data strategy and developing data products that support our mission of expanding access to mental healthcare. You will lead the charge in using data to improve patient outcomes, streamline operational workflows, and support business growth by ensuring that our data infrastructure and products are aligned with the needs of our patients, clinicians, and internal stakeholders.   


You will:
  • Contribute to the development of a data-driven product vision and strategy to align with Talkiatry’s business goals, improving patient care, and operational efficiencies.    
  • Collaborate cross-functionally with product, engineering, clinical teams, and other internal stakeholders to define data product priorities, roadmaps, and timelines.   
  • Develop and prioritize data product roadmaps that continuously evolve our data platform, leveraging our cloud-based data warehouse (Snowflake) and tools (e.g., DBT, Airflow, etc.) to support decision-making, integrations, and data self-service.   
  • Work with data engineers to ensure data solutions are robust, scalable, and high-quality.  
  • Foster a metrics-driven culture by defining success metrics, driving the collection of relevant data, and encouraging continuous experimentation.   
  • Stay up to date with the latest advancements in data platforms, machine learning, and healthcare data products.  


You have:
  • 7+ years of experience as a Product Manager, with at least 3 years of experience working on data products or analytics platforms.   
  • Proven experience in developing and managing data product roadmaps and working with cross-functional teams to deliver successful products.  
  • A strong understanding of data infrastructure and analytics tools, such as cloud data warehouses (Snowflake, Redshift), data orchestration (Airflow, DBT), and data modeling.  
  • Advanced SQL and experience with data modeling  
  • Sound understanding of technical concepts (e.g., data pipelines, data engineering, and analytics frameworks), with the ability to communicate effectively with both technical and non-technical teams.    
  • Ability to think strategically about how data products can drive business value and improve patient care. You should be comfortable balancing long-term vision with short-term execution and managing a portfolio of product initiatives.  
  • Strong written and verbal communication skills, with the ability to create clear, compelling product documentation, presentations, and reports for both technical and non-technical audiences.  
  • An insatiable curiosity to learn and grow within the data product management space.   


Why Talkiatry:
  • Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care  
  • Collaborative environment: be part of building something from the ground up at a fast-paced startup   
  • Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC   
  • Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!  
  • Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands   
  • It all comes back to care: we’re a mental health company, and we put our team’s well-being first  


$150,000 - $200,000 a year
Compensation range for this position is $150,000 - $200,000 + equity, depending on experience; actual compensation will be dependent upon the specific role, location, as well as the individual’s qualifications, experience, skills and certifications. 

Talkiatry transforms psychiatry with accessible, human, and responsible care. We’re a national mental health practice co-founded by a patient and a triple-board-certified psychiatrist to solve the problems both groups face in accessing and providing the highest quality treatment.   

 

60% of adults in the U.S. with a diagnosable mental illness go untreated every year because care is inaccessible, while 45% of clinicians are out of network with insurers because reimbursement rates are low and paperwork is unduly burdensome.  With innovative technology and a human-centered philosophy, we provide patients with the care they need—and allow psychiatrists to focus on why they got into medicine. 



Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work.  

 

At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. 

 

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. 

 

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What You Should Know About Senior Data Product Manager, Talkiatry

If you're a seasoned Senior Data Product Manager looking for an opportunity that truly makes an impact, Talkiatry is the place for you! As part of our innovative team, you'll be pivotal in shaping our data strategy to enhance access to mental health care. You'll be diving into the nitty-gritty of data product development and collaborating with our diverse cross-functional teams to align product priorities with patient, clinician, and stakeholder needs. With your extensive experience, you'll lead the evolution of our cloud-based data platform, utilizing tools like Snowflake and DBT to facilitate data self-service and support decision-making processes. Your knack for defining success metrics and fostering a metrics-driven culture will position Talkiatry at the forefront of healthcare innovation. We value creativity and encourage continuous experimentation—ensuring our solutions are robust and scalable. Plus, you’ll have the flexibility to work remotely, making your lifestyle fit seamlessly with your career. Here, you'll be surrounded by top-notch colleagues who share your passion for making a difference and will support your growth with excellent benefits and learning opportunities. If you're ready to drive meaningful change and transform mental health care with data, we invite you to take this exciting next step with Talkiatry!

Frequently Asked Questions (FAQs) for Senior Data Product Manager Role at Talkiatry
What does a Senior Data Product Manager do at Talkiatry?

At Talkiatry, a Senior Data Product Manager is responsible for shaping our data strategy by developing data products that enhance patient care and streamline workflows. They lead cross-functional teams, manage product roadmaps, and ensure that our data solutions align with the needs of all stakeholders.

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What qualifications are needed for the Senior Data Product Manager position at Talkiatry?

The ideal candidate for the Senior Data Product Manager role at Talkiatry should have over 7 years of experience in product management, with at least 3 years focusing on data products. A strong understanding of cloud data warehouses, data modeling, advanced SQL, and communication skills is essential.

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What tools will a Senior Data Product Manager use at Talkiatry?

In the Senior Data Product Manager role at Talkiatry, you will work primarily with cloud tools like Snowflake and orchestration tools such as DBT and Airflow. These will help you manage data workflows and ensure our data infrastructure supports effective decision-making.

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How does Talkiatry support the growth of a Senior Data Product Manager?

At Talkiatry, we are deeply committed to your professional growth! As a Senior Data Product Manager, you’ll have access to learning opportunities and resources that empower you to enhance your skills and expand your career while being part of a supportive and collaborative team.

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What is the compensation for the Senior Data Product Manager position at Talkiatry?

The compensation range for the Senior Data Product Manager position at Talkiatry is between $150,000 to $200,000 annually, along with equity options. Actual compensation will vary based on experience, qualifications, and location.

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What kind of work culture can a Senior Data Product Manager expect at Talkiatry?

Talkiatry fosters a collaborative and inclusive work culture, where as a Senior Data Product Manager, you'll find a diverse and experienced team passionate about making a difference in mental health care. We prioritize well-being and encourage a healthy work-life balance.

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Is the Senior Data Product Manager role remote at Talkiatry?

Yes! The Senior Data Product Manager position at Talkiatry is fully remote, giving you the flexibility to work from anywhere in the U.S. while engaging in meaningful work that impacts mental health care across the nation.

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Common Interview Questions for Senior Data Product Manager
Can you describe your experience managing data product roadmaps?

When addressing your experience with data product roadmaps, focus on specific projects where you defined priorities and timelines effectively. Highlight how you collaborated with cross-functional teams to ensure that the roadmap aligned with business goals and customer needs.

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How do you ensure data solutions are scalable and high-quality?

To ensure data solutions are scalable and maintain high quality, elaborate on your strategies for working closely with data engineers and how you leverage testing, monitoring methods, and performance metrics to make data products robust and reliable.

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What metrics do you think are essential for measuring success in data products?

In your response, mention key performance indicators relevant to user engagement, data accuracy, and operational efficiency. Illustrate how tracking these metrics helps you refine data products and enhance overall patient outcomes.

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How do you communicate complex technical concepts to non-technical stakeholders?

Explain that you use clear and concise language while incorporating visuals or analogies to make complex concepts relatable. Discuss a specific example where you successfully communicated technical information that led to informed decision-making.

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Can you give an example of a time you implemented a successful data-driven strategy?

Share a specific instance where you introduced a data-driven strategy that significantly improved operational efficiency or patient outcomes. Use data to quantify the impact of your strategy, emphasizing the role of collaboration with various teams.

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What role does experimentation play in data product management?

Discuss how a culture of experimentation fosters innovation and continuous improvement in data product management. Provide examples of experiments you've conducted and how these resulted in actionable insights and product enhancements.

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How do you stay updated on advancements in data platforms and tools?

Detail the resources you utilize, such as industry blogs, webinars, and conferences, to maintain your knowledge base. Highlight your passion for learning and how this curiosity has influenced your approach to product management.

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What is your approach to collaborative product development?

Point out your emphasis on fostering teamwork by creating a shared vision. Discuss tools and methods you'd use to keep everyone aligned, emphasizing open communication and feedback loops throughout the development cycle.

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How do you prioritize features or enhancements for data products?

Explain your approach to prioritization, which could involve stakeholder interviews, user feedback, and data analysis. Make it clear that you balance short-term needs with long-term strategic goals.

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What challenges have you faced in managing data products, and how did you overcome them?

Consider sharing a specific challenge related to aligning data products with business goals. Discuss your problem-solving process, how you involved different teams, and what steps were taken to ultimately resolve the issue.

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